Our company
Hitachi Digital Services is a global digital solutions and transformation business. We bring together deep engineering expertise and industry knowledge to modernise, optimise, and run mission-critical platforms at scale.
Meet our Team
CAAI is the engineering and architecture centre for AI at HDS: a practitioner-led centre that turns Hitachi global “AI ambition” into repeatable, governed delivery. The team builds reference architectures, reusable components, guardrails, and evaluation methods that can be deployed across client environments (cloud and hybrid) and productised into internal accelerators.
The role
You’ll design, build, and operate AI capabilities that can be safely embedded into real delivery: from LLM-enabled workflows to RAG and agent-based systems, integrated into enterprise applications and platforms, and maintained to production standards.
What you’ll do (core responsibilities)
• Engineer AI solutions end-to-end: data preparation, model or LLM integration, evaluation, deployment, and operational monitoring.
• Translate business and delivery needs into working AI designs (including integration patterns and APIs), collaborating with architects, platform engineers, and client stakeholders.
• Contribute reusable assets: reference implementations, patterns, templates, internal libraries, and delivery playbooks.
• Build with production discipline: testing, version control, CI/CD alignment, and pragmatic performance/scalability considerations.
• Implement well-scoped features in LLM-enabled applications (prompting, retrieval pipelines, basic evaluation sets, simple tools/actions).
• Support experimentation with clear hypotheses, measurement, and documentation so work is repeatable.
What you’ll bring
• Strong software engineering in Python (and/or TypeScript/C#), building API-first services and integrating AI capabilities into real application layers (notebooks to production).
• Practical agent/LLM application engineering: prompt/tool design, orchestration patterns, and integrating with agent frameworks such as LangChain or Semantic Kernel (or equivalent).
• Retrieval and knowledge patterns: embeddings, vector search, indexing, and using fit-for-purpose stores (vector DB, relational DB, graph DB, cache) to support RAG-style systems and memory.
• MLOps/LLMOps hygiene: reproducibility and lifecycle management (experiment tracking, evaluation, packaging, and model/app versioning), using tools such as MLflow (or equivalent).
• Working knowledge of ML/GenAI concepts and common frameworks (for example PyTorch; Hugging Face where relevant).
• Familiarity with cloud platforms (AWS, Azure, or GCP) and the practicalities of deploying AI services into real environments.
• Clear communication and a habit of writing things down (design notes, trade-offs, runbooks).
• Degree (or equivalent experience) in CS/Engineering/Maths; strong fundamentals and programming ability.
• Demonstrated interest in applying LLMs/GenAI to business workflows; eagerness to learn in a fast-paced environment.
About us
We’re a global, team of innovators. Together, we harness engineering excellence and passion to co-create meaningful solutions to complex challenges. We turn organizations into data-driven leaders that can make a positive impact on their industries and society. If you believe that innovation can bring a better tomorrow closer to today, this is the place for you.
Championing diversity, equity, and inclusion
Diversity, equity, and inclusion (DEI) are integral to our culture and identity. Diverse thinking, a commitment to allyship, and a culture of empowerment help us achieve powerful results. We want you to be you, with all the ideas, lived experience, and fresh perspective that brings. We support your uniqueness and encourage people from all backgrounds to apply and realize their full potential as part of our team.
#LI-AS1
Fostering innovation through diverse perspectives
Hitachi is a global company operating across a wide range of industries and regions. One of the things that sets Hitachi apart is the diversity of our business and people, which drives our innovation and growth.
We are committed to building an inclusive culture based on mutual respect and merit-based systems. We believe that when people feel valued, heard, and safe to express themselves, they do their best work.
How we look after you
We help take care of your today and tomorrow with industry-leading benefits, support, and services that look after your holistic health and wellbeing. We’re also champions of life balance and offer flexible arrangements that work for you (role and location dependent). We’re always looking for new ways of working that bring out our best, which leads to unexpected ideas. So here, you’ll experience a sense of belonging, and discover autonomy, freedom, and ownership as you work alongside talented people you enjoy sharing knowledge with.
We’re proud to say we’re an equal opportunity employer and welcome all applicants for employment without attention to race, colour, religion, sex, sexual orientation, gender identity, national origin, veteran, age, disability status or any other protected characteristic. Should you need reasonable accommodations during the recruitment process, please let us know so that we can do our best to set you up for success.